TheoremBase

The Dyson Hamilton-Jacobi Equation with Common Noise on the Wasserstein Space of the Real Line

The Dyson Hamilton-Jacobi equation with common noise on the Wasserstein space of the real line, posed over the measures of finite free Fisher information: discount times the value, minus half the common-noise intensity times the trace of the matrix, plus half the squared norm of the vector field, minus a quarter of the inverse temperature times the pairing of the free score with the vector field, equals one eighth of the second moment.

Statement

In the setting of Square-Integrable Vector Fields Against a Probability Measure on Euclidean Space, and Test Functions: Standing Notation, assume that the dimension dd fixed there is 11, so that P2(Rd)\mathcal{P}_{2}(\mathbb{R}^{d}) is the Wasserstein space P2(R)\mathcal{P}_{2}(\mathbb{R}) of the real line, the identification of R\mathbb{R} with R1\mathbb{R}^{1} being the one recorded in One-Dimensional Test Functions: Scalars, Derivatives, and the Difference Quotient of the Derivative. Let λ0∈R\lambda_{0}\in\mathbb{R} and β∈R\beta\in\mathbb{R} be positive and let κ∈R\kappa\in\mathbb{R} be nonnegative. The set P2Φ∗(R)\mathcal{P}_{2}^{\Phi^{*}}(\mathbb{R}) of measures of finite free Fisher information and the free score Ξν∈Tν\Xi_{\nu}\in T_{\nu} of such a measure are those of that definition. The bundle V(P2Φ∗(R))\mathcal{V}(\mathcal{P}_{2}^{\Phi^{*}}(\mathbb{R})) of vector fields over P2Φ∗(R)\mathcal{P}_{2}^{\Phi^{*}}(\mathbb{R}) is that of that clause; for ν∈P2(R)\nu\in\mathcal{P}_{2}(\mathbb{R}) the inner product ⟨⋅,⋅⟩ν\langle\cdot,\cdot\rangle_{\nu} and norm ∥⋅∥ν\lVert\cdot\rVert_{\nu} of L2(ν;R)L^{2}(\nu;\mathbb{R}) are those of Square-Integrable Vector Fields Against a Probability Measure on Euclidean Space, and Test Functions: Standing Notation (ii), and Tν⊆L2(ν;R)T_{\nu}\subseteq L^{2}(\nu;\mathbb{R}) is the tangent space; S(1)\mathcal{S}(1) is the set of symmetric real 1×11\times1 matrices and tr Y\mathrm{tr}\,Y the trace of Y∈S(1)Y\in\mathcal{S}(1); and M2M_{2} is the second moment, finite on P2(R)\mathcal{P}_{2}(\mathbb{R}). The letter qq denotes a vector field, the dimension written qq in Probability Measures on Euclidean Space and Random Vectors: Standing Notation (i) and in Differential Calculus and Convexity on Euclidean Open Sets: Standing Notation (i) not being used. Put 2=1+12=1+1, 4=2+24=2+2 and 8=4+48=4+4; these are positive, by claim 8 of Elementary Order Arithmetic in an Ordered Field for 22 and by claim 3 of that lemma applied twice for 44 and 88, so each has a multiplicative inverse by claim 7 there, and sn\tfrac{s}{n} denotes the product of a real number ss with the multiplicative inverse of nn.

1. (The operator) For (ν,q)∈V(P2Φ∗(R))(\nu,q)\in\mathcal{V}(\mathcal{P}_{2}^{\Phi^{*}}(\mathbb{R})) the measure ν\nu lies in P2(R)\mathcal{P}_{2}(\mathbb{R}), so M2(ν)M_{2}(\nu) is a real number, and the free score Ξν\Xi_{\nu} lies in TνT_{\nu}, hence in L2(ν;R)L^{2}(\nu;\mathbb{R}), so that ⟨Ξν,q⟩ν\langle\Xi_{\nu},q\rangle_{\nu} is a real number. The Dyson Hamilton-Jacobi operator with common noise, with discount λ0\lambda_{0}, common-noise intensity κ\kappa and inverse temperature β\beta, is the function

F: V(P2Φ∗(R))×R×S(1)→R,F:\ \mathcal{V}\bigl(\mathcal{P}_{2}^{\Phi^{*}}(\mathbb{R})\bigr)\times\mathbb{R}\times\mathcal{S}(1)\to\mathbb{R}, F(ν,r,q,Y)=λ0 r−κ2 tr Y+12 ∥q∥ν2−β4 ⟨Ξν,q⟩ν−18 M2(ν),F(\nu,r,q,Y)=\lambda_{0}\,r-\frac{\kappa}{2}\,\mathrm{tr}\,Y+\frac{1}{2}\,\lVert q\rVert_{\nu}^{2}-\frac{\beta}{4}\,\langle\Xi_{\nu},q\rangle_{\nu}-\frac{1}{8}\,M_{2}(\nu),

a second-order equation operator over P2Φ∗(R)\mathcal{P}_{2}^{\Phi^{*}}(\mathbb{R}).

2. (The equation) The Dyson Hamilton-Jacobi equation with common noise is

λ0 r−κ2 tr Y+12 ∥q∥ν2−β4 ⟨Ξν,q⟩ν=18 M2(ν),\lambda_{0}\,r-\frac{\kappa}{2}\,\mathrm{tr}\,Y+\frac{1}{2}\,\lVert q\rVert_{\nu}^{2}-\frac{\beta}{4}\,\langle\Xi_{\nu},q\rangle_{\nu}=\frac{1}{8}\,M_{2}(\nu),

an equation in (ν,r,q,Y)(\nu,r,q,Y) with (ν,q)∈V(P2Φ∗(R))(\nu,q)\in\mathcal{V}(\mathcal{P}_{2}^{\Phi^{*}}(\mathbb{R})), r∈Rr\in\mathbb{R} and Y∈S(1)Y\in\mathcal{S}(1); equivalently, F(ν,r,q,Y)=0F(\nu,r,q,Y)=0 with FF the operator of clause 1. A classical solution of the equation is a classical solution of FF on P2Φ∗(R)\mathcal{P}_{2}^{\Phi^{*}}(\mathbb{R}). In the viscosity sense the equation is read relative to a penalty pair (D,DΣ,E,Σ)(\mathcal{D},\mathcal{D}_{\Sigma},\mathcal{E},\Sigma) with DΣ=P2Φ∗(R)\mathcal{D}_{\Sigma}=\mathcal{P}_{2}^{\Phi^{*}}(\mathbb{R}) and Σ(ν)=−β4 Ξν\Sigma(\nu)=-\tfrac{\beta}{4}\,\Xi_{\nu}, for which FF is the Hamilton-Jacobi operator with common noise and penalty drift of that pair with discount λ0\lambda_{0}, common-noise intensity κ\kappa, control cost 11 and running cost ν↦18M2(ν)\nu\mapsto\tfrac{1}{8}M_{2}(\nu): a viscosity solution of the equation is then a function u:D→Ru:\mathcal{D}\to\mathbb{R} that is a viscosity solution of FF relative to that pair; classical sub- and supersolutions and viscosity sub- and supersolutions of the equation are read in the same way.

Citations

Loading…

Dependencies

Loading…

Related

0 relations

Curated associations between results. These are editable and subjective — they do not replace the dependency graph, which is derived from the references in the text.

No relations recorded yet.

Comments

Log in to comment.

Loading…